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Tarefa crb_papers.q099

crb_papersagentT2publicépoca 1, tentativa 1Execução: 20261015T171027Z-suite-crb_papers-naive-54c3f2

Veredito

falhouDecidida pela verificação 1: figura da resposta próxima, fora da tolerância.
2.145947358 in [0.003559601922, 1.815626149]?

Família do método (das chamadas de ferramentas): Regressão linear por mínimos quadrados ordinários (MQO) · infer.ols (ols · regressão linear)

Calculado pelo agente
coef.margin =2,145952.1459473584749427
Coefficient on margin in the regression of ln.gross
via infer.ols (call_66c32061)
Valor esperado (gabarito)
coef.margin =[0.0035596019216598274,1.8156261488620218]
Como foi validado
1 de 2 verificações obrigatórias aprovadas
interval · [0.0035596019216598274, 1.8156261488620218]

Pergunta feita ao analista

What is the average effect of serving in Parliament on log gross wealth at death for Conservative candidates comparable to those at the win-loss boundary?

Resposta

Estimativa ingênua (infer.ols): coef.margin = 2,146.

Como o agente resolveu e como foi validado

Resumo passo a passo do que o agente executou, por que o caminho está correto e como cada verificação conferiu o resultado.

  1. 1Preparação da base de dados
    ds_0066— | Variable Name | Description | |---------------|-------------------------------------------------------------------------------------------------------| | (index) | Row index from the file export. | | Unnamed: 0 | Auxiliary numeric identifier from the original compilation. | | surname | Candidate’s family name as listed in source records. | | firstname | Candidate’s given name as listed in source records. | | party | Political party affiliation (e.g., “tory” for Conservative, “labour” for Labour). | | ln.gross | Natural log of the gross probate value (estate at death) expressed in 2007 GBP. | | ln.net | - | | yob | Year of birth. | | yod | Year of death. | | margin.pre | Vote-share margin for the same constituency in the immediately preceding election. | | region | UK region/nation of the constituency associated with the decisive race (e.g., Wales, North East England). | | margin | Vote-share margin in the decisive constituency race: candidate’s share minus nearest opponent’s share. | Data Description: This dataset contains candidate-level records assembled to study the financial profiles of British politicians and near-politicians active in parliamentary contests between 1950 and 1970. Biographical and electoral information (names, party, constituency region, and vote margins) were digitized from The Times Guide to the House of Commons. Dates of death were located using post‑1984 vital records, and estate values were retrieved from the national probate calendar; gross estate amounts were converted to 2007 GBP using the UK CPI and logged for analysis. The file focuses on candidates from Britain’s two major parties and includes those who either won a seat or came close in constituency races. The “margin” variable captures competitiveness in the decisive contest (first successful race for winners or best losing race for non-winners), while “margin.pre” summarizes the prior election’s constituency margin. Together with year of birth/death and constituency region, the dataset provides concise demographic, geographic, and electoral context alongside standardized measures of wealth at death derived from probate records.
  2. 2Chamada que gerou a resposta finalinfer.ols(Regressão linear por mínimos quadrados ordinários (MQO))citada na resposta
    Ver chamada call_66c32061 nos detalhes

    Linha de base ingênua: regressão do resultado no tratamento, sem controles.

    Argumentos principais
    dataset:
    "ds_0066"
    intercept:
    true
    level:
    0,950.95
    se:
    "HC1"
    x:
    ["margin"]
    y:
    "ln.gross"
    Resultado calculado
    • coef.margin = 2,14595 2.1459473584749427
      Coefficient on margin in the regression of ln.gross
    Diagnósticos: n_obs = 223223 (observations used) · k = 22 (parameters estimated, fixed-effect dummies included) · r2 = 0,05394420.05394416476943753 · df_resid = 221221 · se_type = "HC1" (heteroskedasticity-robust standard errors (HC1))
  3. 3Conferência de lastro e resposta final

    Todos os 1 números escritos na resposta foram conferidos contra as ferramentas e o enunciado (nenhum número sem lastro).

    Números encontrados: 2,146
    Figuras citadas: call_66c32061:coef.margin
    • #0resposta com lastro
      every number traced to a tool call or the question
    • #1figura da resposta próxima
      CRB estimate_within_solution_ci: the answer figure inside the gold 95% interval effect ± 1.96·|SE| of source crb_papers.q099.gold (closed, evaluate_result.py; no --auto-rescale)
    • #2figura da resposta próxima
      replication cell: the gold effect to rel 1e-6 (abs floor 1e-6·SE); never required
    • #3figura da resposta próxima
      replication cell: the gold SE to rel 1e-6; never required

Aprofundamento técnico para especialistas

Acesso direto às fontes primárias, tabela formal de verificações, comparação de argumentos, trajetória completa com prompts brutos e somas SHA-256.

Valores esperados e de onde vêm

crb_papers.q099.gold

Fonte
CausalReasoningBenchmark, causal_queries.json, index 99 (revision edd0fe1c1d1c)
Tipo
benchmark_gold
Localização
causal_queries.json['99'].effect and .standard_error
Trecho
index 99: effect 0.909593, standard_error 0.462262
Valor como publicado
0.9095928753918407
Erro-padrão como publicado
0.46226187421948006
Valor
0,9095930.9095928753918407 (se 0,4622620.46226187421948006)
Conferido por
arquivo do benchmark · Read from the catalog at the pinned revision by scripts/freeze_crb_papers.py; the catalog states the value its estimation script prints.
Endereço
https://huggingface.co/datasets/syrgkanislab/CausalReasoningBenchmark/resolve/edd0fe1c1d1c5c0a4f0e3e67a50481ac679fb888/causal_queries.json
Licença
MIT
  • #2 figura da resposta próxima: 0,9095930.9095928753918407 · relativa 0.000001 · absoluta 4.6226187421948003e-7
  • #3 figura da resposta próxima: 0,4622620.46226187421948006 · relativa 0.000001 · absoluta 4.6226187421948003e-7

crb_papers.q099.script

Fonte
CausalReasoningBenchmark reference estimation script for index 99
Tipo
software
Localização
solutions/research_papers/RDD/eggers_hainmueller_2009a/question_1/estimation.py
Valor
—
Conferido por
arquivo do benchmark · sha256 of the script's 2120 bytes at the pinned revision; the reference path of the item is a transcription of this script into typed transforms and tool calls (never executed here).
Implementação
independente da ferramenta
sha256 da cópia lida
030cae66db41bb68f3e193e9bd2677f22d15569db49bb8c15ba6117c63162bb7 (identifica a cópia lida, não um arquivo canônico)
Endereço
https://huggingface.co/datasets/syrgkanislab/CausalReasoningBenchmark/resolve/edd0fe1c1d1c5c0a4f0e3e67a50481ac679fb888/solutions/research_papers/RDD/eggers_hainmueller_2009a/question_1/estimation.py
Licença
MIT
    Especificação técnica do gabarito

    CausalReasoningBenchmark gold at the pinned revision: causal_queries.json effect and standard_error (the value the item's estimation.py prints), scored as evaluate_result.py scores estimate_within_solution_ci

    Verificações

    Cada verificação, o que esperava, o que observou e a chamada que leu
    #VerificaçãoObrigatóriaResultadoEsperadoObservadoTolerânciaFonteChamada
    0
    resposta com lastro
    every number traced to a tool call or the question
    every number backed
    obrigatóriapassou0 sem lastro0 sem lastro[]———
    1
    figura da resposta próxima
    CRB estimate_within_solution_ci: the answer figure inside the gold 95% interval effect ± 1.96·|SE| of source crb_papers.q099.gold (closed, evaluate_result.py; no --auto-rescale)
    2.145947358 in [0.003559601922, 1.815626149]?
    obrigatóriafalhou[0.0035596019216598274,1.8156261488620218]2,145952.1459473584749427interval · [0.0035596019216598274, 1.8156261488620218]—call_66c32061
    2
    figura da resposta próxima
    replication cell: the gold effect to rel 1e-6 (abs floor 1e-6·SE); never required
    2.145947358 vs 0.9095928753918407
    registradafalhou0,9095930.90959287539184072,145952.1459473584749427relativa 0.000001 · absoluta 4.6226187421948003e-7crb_papers.q099.goldcall_66c32061
    3
    figura da resposta próxima
    replication cell: the gold SE to rel 1e-6; never required
    0.5303345561 vs 0.46226187421948006
    registradafalhou0,4622620.462261874219480060,5303350.5303345560818745relativa 0.000001 · absoluta 4.6226187421948003e-7crb_papers.q099.goldcall_66c32061

    Caminho de referência e caminho do agente

    A chamada de referência ao lado da chamada que deu a resposta, argumento por argumento.

    Nenhum caminho de referência registrado para esta tarefa.

    Trajetória

    Cada evento na ordem em que aconteceu: turnos do modelo, chamadas de ferramentas, guardas, transformações e pontuação.

    1. 0Início

      What is the average effect of serving in Parliament on log gross wealth at death for Conservative candidates comparable to those at the win-loss boundary?

      ds_0066 (agent)

      | Variable Name | Description | |---------------|-------------------------------------------------------------------------------------------------------| | (index) | Row index from the file export. | | Unnamed: 0 | Auxiliary numeric identifier from the original compilation. | | surname | Candidate’s family name as listed in source records. | | firstname | Candidate’s given name as listed in source records. | | party | Political party affiliation (e.g., “tory” for Conservative, “labour” for Labour). | | ln.gross | Natural log of the gross probate value (estate at death) expressed in 2007 GBP. | | ln.net | - | | yob | Year of birth. | | yod | Year of death. | | margin.pre | Vote-share margin for the same constituency in the immediately preceding election. | | region | UK region/nation of the constituency associated with the decisive race (e.g., Wales, North East England). | | margin | Vote-share margin in the decisive constituency race: candidate’s share minus nearest opponent’s share. | Data Description: This dataset contains candidate-level records assembled to study the financial profiles of British politicians and near-politicians active in parliamentary contests between 1950 and 1970. Biographical and electoral information (names, party, constituency region, and vote margins) were digitized from The Times Guide to the House of Commons. Dates of death were located using post‑1984 vital records, and estate values were retrieved from the national probate calendar; gross estate amounts were converted to 2007 GBP using the UK CPI and logged for analysis. The file focuses on candidates from Britain’s two major parties and includes those who either won a seat or came close in constituency races. The “margin” variable captures competitiveness in the decisive contest (first successful race for winners or best losing race for non-winners), while “margin.pre” summarizes the prior election’s constituency margin. Together with year of birth/death and constituency region, the dataset provides concise demographic, geographic, and electoral context alongside standardized measures of wealth at death derived from probate records.

      file 7fdff34c9e4e50359466a55ae1970a26769c997d2c33705a2722eca68ad700a2 · frame —
    2. 1Turno do modelo
      call_a42c3014naive-olsFim: tool_use0 ms0 de entrada · 0 de saída · 0 de raciocínio · 0 em cache
      Texto visível

      Linha de base ingênua: regressão do resultado no tratamento, sem controles.

      Chamadas pedidas
      • infer.ols
        {
          "dataset": "ds_0066",
          "x": [
            "margin"
          ],
          "y": "ln.gross"
        }
    3. 2Ferramenta
      infer.ols— Regressão linear por mínimos quadrados ordinários (MQO)v0.1.0call_66c32061decidido pelo modeloreexecutável

      Motivo: Linha de base ingênua: regressão do resultado no tratamento, sem controles.

      Argumentos
      {
        "cluster": null,
        "controls": [],
        "dataset": "ds_0066",
        "fe": [],
        "intercept": true,
        "level": 0.95,
        "se": "HC1",
        "subset": null,
        "weights": null,
        "x": [
          "margin"
        ],
        "y": "ln.gross"
      }
      Figuras call_66c32061
      ChaveValorValor brutoErro-padrãoIC
      coef.margin
      Coefficient on margin in the regression of ln.gross
      2,145952.14594735847494270,5303350.53033455608187451,10079 – 3,19111
      Diagnósticos
      • n_obs = 223223 (observations used)
      • k = 22 (parameters estimated, fixed-effect dummies included)
      • r2 = 0,05394420.05394416476943753
      • df_resid = 221221
      • se_type = "HC1" (heteroskedasticity-robust standard errors (HC1))
      • n_clusters = — (errors not clustered)
      Derivação matemática e pressupostos
      coef.margin
      1. Coeficiente de margin na regressão por mínimos quadrados ordinários de ln.gross.→ 2,14595 (2.1459473584749427)
      2. Erro-padrão robusto à heterocedasticidade (HC1): a raiz da variância estimada do coeficiente.ep = √V_jj→ 0,530335 (0.5303345560818745)
      3. Intervalo de 95% de confiança: a estimativa mais ou menos o valor crítico da distribuição t de Student com 221 graus de liberdade vezes o erro-padrão.IC = β ± c · ep
      Pressupostos do estimador
      • the conditional mean of the outcome is linear in the regressors
      • errors are independent across observations; their variance may differ
      Tabelas (1)
      {
        "coefficients": [
          {
            "ci_high": 13.10189727767984,
            "ci_low": 12.776427617347736,
            "coef": 12.939162447513787,
            "p": 1.7724649764730657e-228,
            "se": 0.08257481282839405,
            "t": 156.69623707659858,
            "term": "Intercept"
          },
          {
            "ci_high": 3.1911075103305486,
            "ci_low": 1.1007872066193367,
            "coef": 2.1459473584749427,
            "p": 0.00007191639870109833,
            "se": 0.5303345560818745,
            "t": 4.046403037224762,
            "term": "margin"
          }
        ]
      }
      Hashes SHA-256 e metadados de reprodução
      Digests dos dados
      ds_0066 ee288545e62024604ce5585260fcf29f76d6566a11291bd02c882f7dca74cb8c
      sha256 do resultado
      407f50e1810cb30e99af2a45d6ac20a0bfb5358769748a34abe4322d841a670e
    4. 3Turno do modelo
      call_077d9be8naive-olsFim: tool_use0 ms0 de entrada · 0 de saída · 0 de raciocínio · 0 em cache
      Chamadas pedidas
      • submit_answer (meta-ferramenta)
        {
          "answer": "Estimativa ingênua (infer.ols): coef.margin = 2,146.",
          "caveats": [],
          "figure_refs": [
            "call_66c32061:coef.margin"
          ]
        }
    5. 4Guarda
      resposta aceita
      Números encontrados
      2,146
      Sem lastro
      —
      Não citados
      —
      1 nova(s) tentativa(s) restante(s)
    6. 5Resposta

      Estimativa ingênua (infer.ols): coef.margin = 2,146.

      Figuras citadas: call_66c32061:coef.margin · Parada: answered
      Figura da resposta: call_66c32061:coef.margin = 2,145952.1459473584749427 (se 0,5303350.5303345560818745)
    7. 6Pontuação
      #0resposta com lastropassouobrigatóriaevery number backed
    8. 7Pontuação
      #1figura da resposta próximafalhouobrigatória2.145947358 in [0.003559601922, 1.815626149]?
    9. 8Pontuação
      #2figura da resposta próximafalhouregistrada2.145947358 vs 0.9095928753918407
    10. 9Pontuação
      #3figura da resposta próximafalhouregistrada0.5303345561 vs 0.46226187421948006

    Épocas × verificações

    Resultado de cada verificação em cada época pontuada
    #0123
    Época 1passoufalhoufalhoufalhou

    Tentativas

    Cada tentativa é seu próprio arquivo e é publicada; só a última de cada época é pontuada.

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